Political Analysis

Papers
(The TQCC of Political Analysis is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Integrating Data Across Misaligned Spatial Units498
Accessibility and Equity in the Research Process: Gender Bias in Elite Interview Recruitment129
Bayesian Sensitivity Analysis for Unmeasured Confounding in Causal Panel Data Models118
Measuring Distances in High Dimensional Spaces93
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text74
Synthetically generated text for supervised text analysis69
Measuring Closeness in Proportional Representation Systems40
Parameterizing Spatial Weight Matrices in Spatial Econometric Models30
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI26
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate26
Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons26
Relatio: Text Semantics Capture Political and Economic Narratives – ERRATUM26
When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models26
A Nonparametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US23
Detecting and Correcting for Separation in Strategic Choice Models18
On Finetuning Large Language Models17
PAN volume 30 issue 4 Cover and Back matter17
Contagion, Confounding, and Causality: Confronting the Three C’s of Observational Political Networks Research14
Refining Gamson: The Isometric Log-Ratio Transformation and Portfolio Proportionality in Multiparty Governments14
Generative AI and Topological Data Analysis of Longitudinal Panel Data11
How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies11
Selecting More Informative Training Sets with Fewer Observations11
Estimating the Local Average Treatment Effect Without the Exclusion Restriction11
Categorizing Topics Versus Inferring Attitudes: A Theory and Method for Analyzing Open-ended Survey Responses10
A Dynamic Discrete Choice Approach to Attitude Stability and Constraint10
Hierarchically Regularized Entropy Balancing10
Proportionally Less Difficult?: Reevaluating Keele’s “Proportionally Difficult”9
Priming Bias Versus Post-Treatment Bias in Experimental Designs9
A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames9
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict9
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations8
The Probability of Casting a Pivotal Vote in an Instant Runoff Voting Election8
Countering Non-Ignorable Nonresponse in Survey Models with Randomized Response Instruments and Doubly Robust Estimation8
Generalized Kernel Regularized Least Squares8
Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings7
Positioning Political Texts with Large Language Models by Asking and Averaging - CORRIGENDUM6
Analyzing Political Text at Scale with Online Tensor LDA6
Attention and Political Choice: A Foundation for Eye Tracking in Political Science6
When Can We Trust Regression Discontinuity Design Estimates from Close Elections? Evidence from Experimental Benchmarks6
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds6
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